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DBMS > Hive vs. LokiJS vs. Tkrzw vs. Warp 10

System Properties Comparison Hive vs. LokiJS vs. Tkrzw vs. Warp 10

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLokiJS  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWarp 10  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopIn-memory JavaScript DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitehive.apache.orggithub.com/­techfort/­LokiJSdbmx.net/­tkrzwwww.warp10.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Hometechfort.github.io/­LokiJSwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoinitially developed by FacebookMikio HirabayashiSenX
Initial release2012201420202015
Current release3.1.3, April 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++Java
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyes infovia viewsno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Thrift
JavaScript APIHTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
PHP
Python
JavaScriptC++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptnoyes infoWarpScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnonoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HiveLokiJSTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWarp 10
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